Dan Yamins

A multi-task deep learning model for short-term taxi demand forecasting considering spatiotemporal dependences

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

Crop yield prediction using machine learning: A systematic literature review

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

A survey on deep learning in medical image analysis

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia

A review of automatic selection methods for machine learning algorithms and hyper-parameter values

Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Fine-tuning Deep Belief Networks using Harmony Search

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

Deep belief network based deterministic and probabilistic wind speed forecasting approach

On hyperparameter optimization of machine learning algorithms: Theory and practice

Quantitative model of irrigation effect on maize yield by deep neural network

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms